Author

Dilip Sarkar

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#artificial intelligence Preprint Sep 2026

Query-aligned video frame selection for long video understanding

Multimodal large language models (MLLMs) process multimodal inputs by converting text, images, and videos into token sequences that are subsequently processed by a backbone language model. While MLLMs have achieved excellent performance in understanding the content of individual images, video understanding remains sign...

Md. Safayet Islam, Dilip Sarkar, Liang-Yu Liang · 0 citations

#artificial intelligence Preprint Sep 2026

Evaluation of MLLM-Agnostic Plug-and-Play Keyframe Selection Methods for Long Video Understanding

Multimodal large language models (MLLMs) cannot process every frame of a long video because of limitations in visual-token and computational budgets. Three primary approaches have been proposed to enhance their long-video understanding capabilities: (i) Retraining an MLLM on a large video corpus and/or extending its in...

Dilip Sarkar, Md. Safayet Islam, Liang-Yu Liang · 0 citations